| 一种新的未知雷达信号快速分选方法 |
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| 引用本文： | 王晓峰,张国毅,王然.一种新的未知雷达信号快速分选方法[J].电子信息对抗技术,2011,26(5):19-22,51. |
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| 作者姓名： | 王晓峰 张国毅 王然 |
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| 作者单位： | 1. 空军航空大学航空信息对抗系,长春,130022
2. 沈阳军区空军司令部,沈阳,110035 |
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| 摘 要： | 针对未知雷达信号聚类分选实时性较差的问题，提出了一种改进的DBSCAN聚类分选方法。该方法首先依据脉冲数据在参数空间中的分布特性，寻找一些参考点来合理代替原有数据，然后利用这些参考点的密度连通性进行聚类处理。由于该方法减少了参与聚类运算的数据个数，因而有效克服了原算法计算量较大的缺陷，提高了未知雷达信号的聚类分选速度。仿真结果验证了改进方法的有效性。
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| 关 键 词： | 电子对抗 信号分选 基于密度聚类 |
A New Method of Unknown Radar Signals Sorting |
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| Authors: | WANG Xiao-feng ZHANG Guo-yi WANG Ran |
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| Affiliation: | WANG Xiao-feng1,ZHANG Guo-yi1,WANG Ran2(1.Aviation University of Air Force,Changchun 130022,China,2.Air Command of Shenyang Military Area,Shenyang 110035,China) |
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| Abstract: | Aimed at the problem of worse real-time in the sorting of unknown radar signals,a new signal sorting method based on the DBSCAN is put forward.Using the parameter distribution characteristics of radar pulse data,the method firstly searches a number of reference points to properly represent original data points,and then,make use of their density connected character to cluster the reference points.Because of the decrease of the data involved in clustering,the method overcomes the immense calculated quantities... |
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| Keywords: | ECM signal sorting density-based clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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